M. Ikeda

566 citations
19 papers · 410 · h-index 7

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 10%
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Pancreatic and Hepatic Oncology Research 11
    • Colorectal Cancer Treatments and Studies 3
    • Lung Cancer Research Studies 3
    • Cancer Treatment and Pharmacology 2
    • Neuroendocrine Tumor Research Advances 3

M. Ikeda

17 papers receiving 396 citations

Peers

M. Ikeda
Comparison fields: 5 of 50
  • Hepatology 130
  • Oncology 241
  • Neurology 110
  • Epidemiology 229
  • Pathology and Forensic Medicine 64
Replace Takayoshi Fukutomi with:
Takayoshi Fukutomi Japan
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Marc Puigvehí Spain
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M. Ikeda relative to Takayoshi Fukutomi Japan Takayoshi Fukutomi's profile →
Citations per field
00.5×10×15×19×
Takayoshi Fukutomi · 1×
Citations per year

Countries citing papers authored by M. Ikeda

Since Specialization
Citations

This map shows the geographic impact of M. Ikeda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ikeda more than expected).

Fields of papers citing papers by M. Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Ikeda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Ikeda. The network helps show where M. Ikeda may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Ikeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Ikeda Line = papers co-authored together M. Ikeda links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2010126
2 2016110
3 201244
4 201133
5 199730
6 199820
7 200020
8 19875
9
[Tumor markers for pancreatic and biliary tract cancer].
20045
10
[Outburst of fusidic acid resistant Staphylococcus aureus].
19894
11 20114
12 20102
13 19882
14 20101
15 20111
16 20251
17 20031
18 20041
19 20060

About M. Ikeda

M. Ikeda is a scholar working on Oncology, Epidemiology, Hepatology, Surgery and Cancer Research, having authored 19 papers that have together received 410 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Colorectal Cancer Treatments and Studies (3 papers), Lung Cancer Research Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Cancer Treatment and Pharmacology (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Hepatology (130 citations), Oncology (241 citations), Neurology (110 citations), Epidemiology (229 citations) and Pathology and Forensic Medicine (64 citations). M. Ikeda has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Hideki Ueno, Takuji Okusaka, Atsushi Hagihara, Chigusa Morizane, Shunsuke Kondo, Hiroshi Ishii, Yuki Kojima, Satoru Iwasa, Noriya Hiraoka and Tsutomu Tanaka. Their work appears in journals such as Journal of Clinical Oncology, Japanese Journal of Clinical Oncology, Annals of Oncology, International Journal of Radiation Oncology*Biology*Physics and Plant and Cell Physiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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